Olivia Uddin

843 citations
14 papers · 543 · h-index 10

Impact in

Papers in

Olivia Uddin

13 papers receiving 539 citations

Peers

Olivia Uddin
Comparison fields: 5 of 68
  • Behavioral Neuroscience 43
  • Endocrine and Autonomic Systems 79
  • Cellular and Molecular Neuroscience 205
  • Physiology 240
  • Cognitive Neuroscience 130
Replace Charles Raver with:
Charles Raver United States
Emilie Laboureyras France
Nicole Russell United States
C. Ascioti Italy
Alfonso A. Valverde‐Navarro Spain
Natsu Koyama Japan
Wenjuan Tao China
Warren Logge Australia
R.W. Clarke United Kingdom
Shafaq Sikandar United Kingdom
Olivia Uddin relative to Charles Raver United States Charles Raver's profile →
Citations per field
00.5×3.5×
Charles Raver · 1×
Citations per year

Countries citing papers authored by Olivia Uddin

Since Specialization
Citations

This map shows the geographic impact of Olivia Uddin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Olivia Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Uddin more than expected).

Fields of papers citing papers by Olivia Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia Uddin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Olivia Uddin. The network helps show where Olivia Uddin may publish in the future.

Co-authors

The 25 scholars most cited alongside Olivia Uddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Olivia Uddin Line = papers co-authored together Olivia Uddin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2019180
2 202095
3 201770
4 202147
5 201832
6 201729
7 202028
8 202218
9 201814
10 201913
11 20217
12 20226
13 20214
14 20210

About Olivia Uddin

Olivia Uddin is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Epidemiology, having authored 14 papers that have together received 543 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Neuropeptides and Animal Physiology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Alzheimer's disease research and treatments (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Streptococcal Infections and Treatments (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Behavioral Neuroscience (43 citations), Endocrine and Autonomic Systems (79 citations), Cellular and Molecular Neuroscience (205 citations), Physiology (240 citations) and Cognitive Neuroscience (130 citations). Olivia Uddin has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Asaf Keller, Radi Masri, Charles Raver, Michael C. Chiang, Domenico Tupone, Lindsey A. Schier, Mary M. Heinricher, Anna J. Bowen, Ying Li and Titilola Akintola. Their work appears in journals such as Journal of Neuroscience, Journal of Clinical Investigation, Nature Neuroscience, Frontiers in Medicine and Journal of Pain.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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